Abstract
Space borne GNSS receivers may not have enough tracked GNSS space vehicles due to the geometry caused by high altitude and limited receiver sensitivity. In many cases, such as real-time orbit determination for communication satellites, it is necessary to refine the position and velocity outputs of a space borne GNSS receiver for improved accuracy and robustness before actually using them. Toward this problem, an efficient algorithm jointly using weighted Runge-Kutta integration and cubic Hermite polynomial interpolation is proposed in this work. Simulations are conducted based on the GNSS data of GRACE-B satellite and LING QIAO satellite, the result of which show the proposed algorithm can effectively eliminate outliers and significantly reduce the root mean square error of GNSS position and velocity outputs.
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Acknowledgement
The authors would like to thank the Science, Technology and Innovation Commission of Shenzhen Municipality (No. JSGG20160429165838848).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Chang, S., Chen, X., Wang, M. (2018). An Efficient Algorithm for Refining Position and Velocity Outputs of Space Borne GNSS Receivers. In: Li, B., Shu, L., Zeng, D. (eds) Communications and Networking. ChinaCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 236. Springer, Cham. https://doi.org/10.1007/978-3-319-78130-3_34
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DOI: https://doi.org/10.1007/978-3-319-78130-3_34
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